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¸÷λսÓÑ£¬±¾ÈËǰһ¶Îʱ¼äͶÁËһƪÎÄÕ£¬Ñо¿ÄÚÈÝΪ²ÉÓÃÏìÓ¦Ãæ·ÖÎö·¨ÓÅ»¯Ò»ÖÖµ°°×ø½â¹¤ÒÕ£¬Éó¸åÒâ¼ûÖÐÓÐÒ»ÌõÓйØÏìÓ¦Ãæ·ÖÎöͳ¼Æ·ÖÎöµÄÒâ¼û£¬ÎÒ²»ÊǺÜÃ÷°×»¹Çë¸÷λָ½Ì£¬¶àл£¡Éó¸åÒâ¼ûÈçÏ£º As the authors say and well in page 11 line 39 when p<0.0001 the factor effect is statistically significant. The statistical data of the response model and effects of each parameter tested in the ACE-inhibitory activity are not well understood. The factor X4 (pH) effect on the response (ACE inhibitory effect) is the only factor that the effects are statistically significant in a confidence interval of 99% that you said that used. Also, the linear interactiosn of X1X1 and X4X4 are the only that you can use to estimate the ¡°power¡± of these effects and construct the response surface figure and estimate a prediction equation of the effect of these factors on the variation of the response (ACE-inhbitory activity). With the others factors you can construct paretos charts and indicate if the effect is negative or positive on the response. Maybe is better to consult a specialist or a colleague that is able to work with these models. |
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